moco | PyTorch implementation of MoCo https | Machine Learning library

by facebookresearch Python Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | moco Summary

moco is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. moco has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However moco build file is not available. You can download it from GitHub.

This is a PyTorch implementation of the MoCo paper:.

Support

Quality

Security

License

Reuse

Support

moco has a medium active ecosystem.

It has 4051 star(s) with 732 fork(s). There are 52 watchers for this library.

It had no major release in the last 6 months.

There are 48 open issues and 76 have been closed. On average issues are closed in 4 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of moco is current.

Quality

moco has 0 bugs and 0 code smells.

Security

moco has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

moco code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

moco is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

moco releases are not available. You will need to build from source code and install.

moco has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

moco saves you 351 person hours of effort in developing the same functionality from scratch.

It has 840 lines of code, 45 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed moco and discovered the below as its top functions. This is intended to give you an instant insight into moco implemented functionality, and help decide if they suit your requirements.

Main worker function
Train the model
Validate the model
Check for sanity checks
Compute accuracy
Adjust the learning rate for the optimizer
Calculate the sum
Save checkpoint
Display a batch
Compute key features and key features
Shuffle dp
Unshuffle dask
Dequeue and enqueue keys
Concatenate a tensor
Updates key encoder
Set up the configuration

Get all kandi verified functions for this library.

moco Key Features

No Key Features are available at this moment for moco.

moco Examples and Code Snippets

default

Perl

Lines of Code : 610

License : No License

Copy

  __PACKAGE__->dsn('dbi:mysql:dbname=blog');
  __PACKAGE__->username('test');
  __PACKAGE__->password('test');

  1;

  # Second, create a base class for all models.
  package Blog::MoCo;
  use base qw 'DBIx::MoCo'; # Inherit DBIx::MoCo
  us

CIFAR Experiments

Python

Lines of Code : 50

License : Permissive (Apache-2.0)

Copy

python -m torch.distributed.launch --nproc_per_node=4 --use_env main.py \
    ssl --config ./configs/cifar/resnet18_ssql_simsiam_cifar.yaml \
    --output [your_checkpoint_dir] -j 8

TRAIN:
    EPOCHS: 400 # Total training epochs
    DATASET: cifar10

Small resolution

Python

Lines of Code : 33

License : No License

Copy

cd moco
python main_moco_pretraining.py \
  -a resnet50 \
  --lr 0.03 \
  --batch-size 128 --epochs 200 \
  --input-size [112 or 56 for small resolutions and 224 for baseline] \
  --dist-url 'tcp://localhost:10004' --multiprocessing-distributed --wor

Community Discussions

Trending Discussions on moco

Use the result of enrichKEGG() to make the dotplot

How to define variable from function that I'm running loop over?

Error: Cannot find module 'selenium-selenium'

QUESTION

Use the result of enrichKEGG() to make the dotplot

Asked 2021-Jul-19 at 15:02

entrezid_downgene=structure(list(SYMBOL = c("ARHGEF16", "ILDR1", "TMPRSS4", "MAP7", "SERINC2", "C9orf152", "TSPAN1", "RHEX", "TMC4", "CRB3", "UGT8", "CD24", "MAPK13", "AGR2", "GJB1", "ERBB3", "CNDP2", "LOC105378644", "GCNT3", "CEACAM1", "GPR160", "PRSS8", "HOOK1", "ABHD17C", "MOCOS", "CWH43", "EHF", "ACSL5", "SLC44A4", "RAP1GAP", "MUC13", "PPM1H", "ATP2C2", "RAB25", "H2BC5", "H4C12", "TJP3", "RXFP1", "GSTO2", "OVOL2", "TMEM125", "LIMS1", "DLX5", "ST6GALNAC1", "HNF1B", "STX19", "F2RL1", "MT1G", "PLPP2", "TMEM238", "SLC30A2", "GABRP", "EPCAM", "CLDN10", "HOXB5", "PRAME", "MAL2", "PLA2G10", "TSPAN12", "FAM174B", "TMC5", "ASRGL1", "SCNN1A", "FOXL2", "ALDH3B2", "ELF3", "SLC7A1", "MT1F", "CLDN3", "SPINT2", "SFN", "VWC2", "C9orf116", "SLC39A6", "TCN1", "IL20RA", "ACSM3", "FOXL2NB", "HGD", "PAX8", "IDO1", "C4BPA", "RHPN2", "HMGCR", "UGT2B11", "PIGR", "MUC20", "SLC3A1", "PLLP", "PSAT1", "SCGB2A1", "WNT5A", "DEFB1", "FGL1", "SLC2A8", "HOXB8", "CYP2J2", "WWC1", "MUC1", "PRKX", "RASEF", "BAIAP2L2", "PAPSS1", "MME", "HOMER2", "STRA6", "ARG2", "MOGAT1", "CDS1", "SCGB2A2", "MPZL2", "PHYHIPL", "INAVA", "IDO2", "GALNT4", "TMEM101", "HSD17B2", "AOC1", "CDCA7", "CAPS", "TFCP2L1", "PAEP", "PLAC9P1", "GAL", "RORB", "CCNO", "XDH", "C15orf48", "SLC1A1", "GPT2", "VNN1", "NWD1", "HABP2", "UGT2B7", "CYP26A1", "MSX1", "ENPP3", "KIR2DL3", "ADAMTS9", "KIR2DL4", "BRINP1", "PROM1", "APCDD1", "AGR3", "EYA2", "SLC2A1", "GNLY", "COL7A1", "FOXJ1", "MS4A8", "C20orf85", "RSPH1", "SCGB1D2", "SPP1", "RASD1", "CST1", "SCGB1D4", "LEFTY1", "LAMC3", "TEKT1", "LCN2", "VTCN1", "IRX3", "ROPN1L", "FAM183A", "NDP", "TUBB3", "DIO2", "IL2RB", "ADAMTS8", "SERPINA5", "NKG7", "ABCC8", "STC1", "LRRC26"), 
               ENTREZID = c("27237", "286676", "56649", "9053", "347735", "401546", "10103", "440712", "147798", "92359", "7368", "100133941", "5603", "10551", "2705", "2065", "55748", "105378644", "9245", "634", "26996", "5652", "51361", "58489", "55034", "80157", "26298", "51703", "80736", "5909", "56667", "57460", "9914", "57111", "3017", "8362", "27134", "59350", "119391", "58495", "128218", "3987", "1749", "55808", "6928", "415117", "2150", "4495", "8612", "388564", "7780", "2568", "4072", "9071", "3215", "23532", "114569", "8399", "23554", "400451", "79838", "80150", "6337", "668", "222", "1999", "6541", "4494", "1365", "10653", "2810", "375567", "138162", "25800", "6947", "53832", "6296", "401089", "3081", "7849", "3620", "722", "85415", "3156", "10720", "5284", "200958", "6519", "51090", "29968", "4246", "7474", "1672", "2267", "29988", "3218", "1573", "23286", "4582", "5613", "158158", "80115", "9061", "4311", "9455", "64220", "384", "116255", "1040", "4250", "10205", "84457", "55765", "169355", "8693", "84336", "3294", "26", "83879", "828", "29842", "5047", "389033", "51083", "6096", "10309", "7498", "84419", "6505", "84706", "8876", "284434", "3026", "7364", "1592", "4487", "5169", "3804", "56999", "3805", "1620", "8842", "147495", "155465", "2139", "6513", "10578", "1294", "2302", "83661", "128602", "89765", "10647", "6696", "51655", "1469", "404552", "10637", "10319", "83659", "3934", "79679", "79191", "83853", "440585", "4693", "10381", "1734", "3560", "11095", "5104", "4818", "6833", "6781", "389816")),
          row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L), class = "data.frame") 
          

down_ekk <- enrichKEGG(gene= c(entrezid_downgene$ENTREZID),
                  organism  = 'hsa', 
                  pvalueCutoff = 0.05,
                  minGSSize = 50,
                  maxGSSize = 500,
                  
)
dot <- dotplot(down_ekk,font.size=6,title='down_kegg')  
dot

...

ANSWER

Answered 2021-Jul-16 at 09:26

This is normal you can't plot the dotplot because you have no significant ontologies. You can check with down_ekk :

Source https://stackoverflow.com/questions/68404726

QUESTION

How to define variable from function that I'm running loop over?

Asked 2021-Jun-24 at 16:37

This may be a super naive question, but I have a function that I'm trying to loop over with each item in a list being an input. The function is get_t1_file()

...

ANSWER

Answered 2021-Jun-24 at 16:37

You have to use the returned value of the function:

Source https://stackoverflow.com/questions/68119605

QUESTION

Error: Cannot find module 'selenium-selenium'

Asked 2020-Sep-11 at 21:30

Versions are:

...

ANSWER

Answered 2020-Sep-11 at 21:30

I think you use incorrect package name in your code - selenium-selenium. This package doesn't available on npmjs.org.

Try change this lines in our code:

Source https://stackoverflow.com/questions/63841190

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install moco

You can download it from GitHub.
You can use moco like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: